smartDesign (version 0.74)

powerSST: Power for Single Sequential Treatment (SST) Trial design clinical trial calculations

Description

Power Calculations Comparing two Single Sequential Treatment Treatment (SST) Trial design clinical trial calculations

Usage

powerSST(sst1, sst2, pG_A1 = 0.8, pG_A2 = 0.8, alpha=0.05)

Value

An object of the powerSST S3 class, with the following elements:

powerdat:

data.frame with sens, spec, mu, sigsq and sample size, power

Arguments

sst1

an object of smartSST class, created by function of the same name

sst2

an object of smartSST class, created by function of the same name

pG_A1

probability of response to therapy given assignment to A1

pG_A2

probability of response to therapy given assignment to A2

alpha

accepted type-I error rate for power calculations

Author

Jun (Jessie) He, Aberaham Eyman-Casey, Jason P. Sinnwell, Mayo Clinic

Details

more details to come

Examples

  sst1 <- smartSST(mu_Barm=c(G1=30, G0=20), sigsq_Barm=c(G1=16,G0=16),
         Barm=1, sens=seq(.6, 1, by=.1),  spec=seq(.6, 1, by=.1),
         nsubject=252)
  sst2 <- smartSST(mu_Barm=c(G1=20, G0=30), sigsq_Barm=c(G1=16,G0=16),
         Barm=2, sens=seq(.6, 1, by=.1),  spec=seq(.6, 1, by=.1),
         nsubject=252)

  psst12 <- powerSST(sst1, sst2)
  print(psst12) ## plot(psst12)